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This session covers the more advanced aspects of development for Azure SQL Data Warehouse. Areas such as data movement, workload concurrency and resource management will all be covered during this intense 60 minute session.

Azure Data Factory and SSIS are both data movement tools, but built for different purposes. In this session you will learn pros and cons of using each technology, and best practices of using each in real world scenarios.

Virtualization has had a major impact on computing. While data professionals have adjusted to this for database servers, many BI workloads have moved there as well. Learn about the impact of virtualization on BI.

In this session, we are going to look at a typical machine learning process and how to apply it to real world data. We are going to use Azure Machine Learning to transform data and ideas into models that are production ready in minutes.

About

SQL Bits was started by a group of individuals that are passionate about the SQL Server product suite.
There is a breadth of knowledge in the SQL Community that will benefit everyone in the community.
We want to spread that knowledge.

We all work with the SQL community, some of us for many years and have all been given the MVP award by Microsoft